Articles | Volume 15, issue 10
Atmos. Chem. Phys., 15, 5325–5358, 2015
https://doi.org/10.5194/acp-15-5325-2015

Special issue: Coupled chemistry–meteorology modelling: status and...

Atmos. Chem. Phys., 15, 5325–5358, 2015
https://doi.org/10.5194/acp-15-5325-2015
Review article
18 May 2015
Review article | 18 May 2015

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet et al.

Related authors

A fast, single-iteration ensemble Kalman smoother for sequential data assimilation
Colin Grudzien and Marc Bocquet
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-306,https://doi.org/10.5194/gmd-2021-306, 2021
Revised manuscript under review for GMD
Short summary
Quantification of uncertainties in the assessment of an atmospheric release source applied to the autumn 2017 106Ru event
Joffrey Dumont Le Brazidec, Marc Bocquet, Olivier Saunier, and Yelva Roustan
Atmos. Chem. Phys., 21, 13247–13267, https://doi.org/10.5194/acp-21-13247-2021,https://doi.org/10.5194/acp-21-13247-2021, 2021
Short summary
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments
Colin Grudzien, Marc Bocquet, and Alberto Carrassi
Geosci. Model Dev., 13, 1903–1924, https://doi.org/10.5194/gmd-13-1903-2020,https://doi.org/10.5194/gmd-13-1903-2020, 2020
Short summary
Diagnosing spatial error structures in CO2 mole fractions and XCO2 column mole fractions from atmospheric transport
Thomas Lauvaux, Liza I. Díaz-Isaac, Marc Bocquet, and Nicolas Bousserez
Atmos. Chem. Phys., 19, 12007–12024, https://doi.org/10.5194/acp-19-12007-2019,https://doi.org/10.5194/acp-19-12007-2019, 2019
Short summary
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
Marc Bocquet, Julien Brajard, Alberto Carrassi, and Laurent Bertino
Nonlin. Processes Geophys., 26, 143–162, https://doi.org/10.5194/npg-26-143-2019,https://doi.org/10.5194/npg-26-143-2019, 2019
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals
Michael Sitwell, Mark W. Shephard, Yves Rochon, Karen Cady-Pereira, and Enrico Dammers
Atmos. Chem. Phys., 22, 6595–6624, https://doi.org/10.5194/acp-22-6595-2022,https://doi.org/10.5194/acp-22-6595-2022, 2022
Short summary
A process-oriented evaluation of CAMS reanalysis ozone during tropopause folds over Europe for the period 2003–2018
Dimitris Akritidis, Andrea Pozzer, Johannes Flemming, Antje Inness, Philippe Nédélec, and Prodromos Zanis
Atmos. Chem. Phys., 22, 6275–6289, https://doi.org/10.5194/acp-22-6275-2022,https://doi.org/10.5194/acp-22-6275-2022, 2022
Short summary
Estimation of mechanistic parameters in the gas-phase reactions of ozone with alkenes for use in automated mechanism construction
Mike J. Newland, Camille Mouchel-Vallon, Richard Valorso, Bernard Aumont, Luc Vereecken, Michael E. Jenkin, and Andrew R. Rickard
Atmos. Chem. Phys., 22, 6167–6195, https://doi.org/10.5194/acp-22-6167-2022,https://doi.org/10.5194/acp-22-6167-2022, 2022
Short summary
Projections of hydrofluorocarbon (HFC) emissions and the resulting global warming based on recent trends in observed abundances and current policies
Guus J. M. Velders, John S. Daniel, Stephen A. Montzka, Isaac Vimont, Matthew Rigby, Paul B. Krummel, Jens Muhle, Simon O'Doherty, Ronald G. Prinn, Ray F. Weiss, and Dickon Young
Atmos. Chem. Phys., 22, 6087–6101, https://doi.org/10.5194/acp-22-6087-2022,https://doi.org/10.5194/acp-22-6087-2022, 2022
Short summary
Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion
Joe McNorton, Nicolas Bousserez, Anna Agustí-Panareda, Gianpaolo Balsamo, Luca Cantarello, Richard Engelen, Vincent Huijnen, Antje Inness, Zak Kipling, Mark Parrington, and Roberto Ribas
Atmos. Chem. Phys., 22, 5961–5981, https://doi.org/10.5194/acp-22-5961-2022,https://doi.org/10.5194/acp-22-5961-2022, 2022
Short summary

Cited articles

Abida, R. and Bocquet, M.: Targeting of observations for accidental atmospheric release monitoring, Atmos. Environ., 43, 6312–6327, 2009.
Adhikary, B., Kulkarni, S., Dallura, A., Tang, Y., Chai, T., Leung, L. R., Qian, Y., Chung, C. E., Ramanathan, V., and Carmichael, G. R.: A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique, Atmos. Environ., 42, 8600–8615, https://doi.org/10.1016/j.atmosenv.2008.08.031, 2008.
Anderson, J. L. and Anderson, S. L.: A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts, Mon. Weather Rev., 127, 2741–2758, 1999.
Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E., McMillin, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin, D. H., Strow, L. L., and Susskind, J.: AIRS/AMSU/HSB on the Aqua mission: Design, science objectives, data products, and processing systems, IEEE Trans. Geosci. Remote Sens., 41, 253–264, 2003.